2

1. Group members:
1) Swarupa Chinchalikar.
2) Nandini Honmute.
3) Yashashri Kavathekar.
Project Guide: Mrs. P. R.
Chougule.
SHARAD INSTITUTE OF TECHNOLOGY POLYTECHNIC,
YADRAV [ICHAKARANJI] (0968)]
2020-21
PROGRAM OF COMPUTER ENGINEERING

2. Contents

3. Introduction
 Farming assistant web service is a web project to help the farmers.
 This innovative site allows a good communication.
 Dealers can publish an advertisement / banner.
 Farmers, Suppliers and Admin can add different products.

4. Choice of the topic
 Through this project farmers ensure greater profitability.
 Easy and fast
 Advertisement Page
 Product differentiation

5. Literature Overview
We have reviewed following research paper:
 Agriculture decision support system using data mining [2017]
 E-farming
 E-Agriculture Information Management System [2014]
 Supply chain security: An overview and research agenda [2008]
 Europol report [2016]

6. Proposed SYSTEM
Aim:
Proposed System:
 Digitalize agriculture.
 Communication through mobile phones.
 Eliminate intermediates.

7.  The objective is to create a Web-site that can perform the following:
 Connecting to an HTTPS site (Farming Assistant Web Service) through GPRS/ Wi-Fi.
 Opening the relevant html pages using HTTPS POST & GET methods.
 Read the data logically into Farmer, Supplier and Admin.
 Creating a local database.
Methodology

8. Proposed system Model
• Farmer
 Home
 Products
Category
 All Products
 Add Products
 Add Slider/Banner
 Log Out
• Admin
 Home
 Products Category
 All Products
 Add Products
 Add Slider/Banner
 Add Category
 Add Sub Category
 Log Out

9. PROPOSED APPROACH

10. Screenshots

16. System Requirement
 Hardware Requirements:
 4 GB RAM
 I3 Processor
 500 GB Hard disk
 Software Requirements:
 Languages:
 HTML
 CSS
 Java script
 .net
 Database:
 SQL Server Management Studio
 Editor:
 Microsoft Visual Studio 2010

17. applications
 Digital Farming
 Can be used in second and third world countries.
 Agricultural Industry

18. Advantages and limitations
 Advantages
 Transparency in the system.
 Saves time, cost and also energy.
 Limitations
 It requires a large database.
 It requires internet connection.

19. Conclusion
T

20. future Scope
 Verification of users.
 Improvement of design
 Mobile application

21. References
 2017 International Conference on I2C2, “Agricilture decision support system using data mining”,
Prof. Rakesh Shirsath: Neha Khadke: Divya More.
 IEEE Papers E-Farming Sindhu M R, Aditya Pabshettiwar, Ketan.K.Ghumatkar,
Pravin.H.Budhehalkar, Paresh.V.Jaju G. H. Raisoni College of Engineering and Management,
Pune, India ISSN:0975-9646 Pages-3479
 IEEE Papers E-Agriculture Information Management System Sumitha Thankachan1,
Dr.S.Kirubakaran21PG Scholar,Info Institute of Engineering, India2Assistant Professor, Info
Institute of Engineering, India ISSN 2320-088x Pages-600
 zWilliams, J. E. Lueg, and S. A. LeMay, “Supply chain security: An overview and research
agenda,” Int. J. Log. Manage., vol. 19, no. 2, pp. 254–281, 2008.
 Europol report, 2016. [Online]. Available: https://www.interpol.int/News- and
media/News/2016/N2016-139. Accessed on: Nov. 30, 2016.
 http://projetcideas.co.in/farming -assistant-web-service-project-ideas/
 https://www.slideshare.net/SurbhiSharma250/farming-assistant-web-service-101343072
 https://nevonprojects.com/farming-assistant-web-service-php/

22. THANK YOU

23. ANY QUESTION